{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## bagging算法"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 算法步骤：\n",
    "\n",
    "- Step 1： 通过自助法（有放回抽样）生成k个数据集，即在所有的样本中通过有放回的随机抽样，生成k个数据集。\n",
    "\n",
    "- Step 2： 对这k组数据集分别进行训练，从而得到k个分类器\n",
    "\n",
    "- Step 3： 将这k个分类器组合到一起，各个分类器的权重相同，从而得到最终的分类器。"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 导入iris数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'data': array([[5.1, 3.5, 1.4, 0.2],\n",
      "       [4.9, 3. , 1.4, 0.2],\n",
      "       [4.7, 3.2, 1.3, 0.2],\n",
      "       [4.6, 3.1, 1.5, 0.2],\n",
      "       [5. , 3.6, 1.4, 0.2],\n",
      "       [5.4, 3.9, 1.7, 0.4],\n",
      "       [4.6, 3.4, 1.4, 0.3],\n",
      "       [5. , 3.4, 1.5, 0.2],\n",
      "       [4.4, 2.9, 1.4, 0.2],\n",
      "       [4.9, 3.1, 1.5, 0.1],\n",
      "       [5.4, 3.7, 1.5, 0.2],\n",
      "       [4.8, 3.4, 1.6, 0.2],\n",
      "       [4.8, 3. , 1.4, 0.1],\n",
      "       [4.3, 3. , 1.1, 0.1],\n",
      "       [5.8, 4. , 1.2, 0.2],\n",
      "       [5.7, 4.4, 1.5, 0.4],\n",
      "       [5.4, 3.9, 1.3, 0.4],\n",
      "       [5.1, 3.5, 1.4, 0.3],\n",
      "       [5.7, 3.8, 1.7, 0.3],\n",
      "       [5.1, 3.8, 1.5, 0.3],\n",
      "       [5.4, 3.4, 1.7, 0.2],\n",
      "       [5.1, 3.7, 1.5, 0.4],\n",
      "       [4.6, 3.6, 1. , 0.2],\n",
      "       [5.1, 3.3, 1.7, 0.5],\n",
      "       [4.8, 3.4, 1.9, 0.2],\n",
      "       [5. , 3. , 1.6, 0.2],\n",
      "       [5. , 3.4, 1.6, 0.4],\n",
      "       [5.2, 3.5, 1.5, 0.2],\n",
      "       [5.2, 3.4, 1.4, 0.2],\n",
      "       [4.7, 3.2, 1.6, 0.2],\n",
      "       [4.8, 3.1, 1.6, 0.2],\n",
      "       [5.4, 3.4, 1.5, 0.4],\n",
      "       [5.2, 4.1, 1.5, 0.1],\n",
      "       [5.5, 4.2, 1.4, 0.2],\n",
      "       [4.9, 3.1, 1.5, 0.2],\n",
      "       [5. , 3.2, 1.2, 0.2],\n",
      "       [5.5, 3.5, 1.3, 0.2],\n",
      "       [4.9, 3.6, 1.4, 0.1],\n",
      "       [4.4, 3. , 1.3, 0.2],\n",
      "       [5.1, 3.4, 1.5, 0.2],\n",
      "       [5. , 3.5, 1.3, 0.3],\n",
      "       [4.5, 2.3, 1.3, 0.3],\n",
      "       [4.4, 3.2, 1.3, 0.2],\n",
      "       [5. , 3.5, 1.6, 0.6],\n",
      "       [5.1, 3.8, 1.9, 0.4],\n",
      "       [4.8, 3. , 1.4, 0.3],\n",
      "       [5.1, 3.8, 1.6, 0.2],\n",
      "       [4.6, 3.2, 1.4, 0.2],\n",
      "       [5.3, 3.7, 1.5, 0.2],\n",
      "       [5. , 3.3, 1.4, 0.2],\n",
      "       [7. , 3.2, 4.7, 1.4],\n",
      "       [6.4, 3.2, 4.5, 1.5],\n",
      "       [6.9, 3.1, 4.9, 1.5],\n",
      "       [5.5, 2.3, 4. , 1.3],\n",
      "       [6.5, 2.8, 4.6, 1.5],\n",
      "       [5.7, 2.8, 4.5, 1.3],\n",
      "       [6.3, 3.3, 4.7, 1.6],\n",
      "       [4.9, 2.4, 3.3, 1. ],\n",
      "       [6.6, 2.9, 4.6, 1.3],\n",
      "       [5.2, 2.7, 3.9, 1.4],\n",
      "       [5. , 2. , 3.5, 1. ],\n",
      "       [5.9, 3. , 4.2, 1.5],\n",
      "       [6. , 2.2, 4. , 1. ],\n",
      "       [6.1, 2.9, 4.7, 1.4],\n",
      "       [5.6, 2.9, 3.6, 1.3],\n",
      "       [6.7, 3.1, 4.4, 1.4],\n",
      "       [5.6, 3. , 4.5, 1.5],\n",
      "       [5.8, 2.7, 4.1, 1. ],\n",
      "       [6.2, 2.2, 4.5, 1.5],\n",
      "       [5.6, 2.5, 3.9, 1.1],\n",
      "       [5.9, 3.2, 4.8, 1.8],\n",
      "       [6.1, 2.8, 4. , 1.3],\n",
      "       [6.3, 2.5, 4.9, 1.5],\n",
      "       [6.1, 2.8, 4.7, 1.2],\n",
      "       [6.4, 2.9, 4.3, 1.3],\n",
      "       [6.6, 3. , 4.4, 1.4],\n",
      "       [6.8, 2.8, 4.8, 1.4],\n",
      "       [6.7, 3. , 5. , 1.7],\n",
      "       [6. , 2.9, 4.5, 1.5],\n",
      "       [5.7, 2.6, 3.5, 1. ],\n",
      "       [5.5, 2.4, 3.8, 1.1],\n",
      "       [5.5, 2.4, 3.7, 1. ],\n",
      "       [5.8, 2.7, 3.9, 1.2],\n",
      "       [6. , 2.7, 5.1, 1.6],\n",
      "       [5.4, 3. , 4.5, 1.5],\n",
      "       [6. , 3.4, 4.5, 1.6],\n",
      "       [6.7, 3.1, 4.7, 1.5],\n",
      "       [6.3, 2.3, 4.4, 1.3],\n",
      "       [5.6, 3. , 4.1, 1.3],\n",
      "       [5.5, 2.5, 4. , 1.3],\n",
      "       [5.5, 2.6, 4.4, 1.2],\n",
      "       [6.1, 3. , 4.6, 1.4],\n",
      "       [5.8, 2.6, 4. , 1.2],\n",
      "       [5. , 2.3, 3.3, 1. ],\n",
      "       [5.6, 2.7, 4.2, 1.3],\n",
      "       [5.7, 3. , 4.2, 1.2],\n",
      "       [5.7, 2.9, 4.2, 1.3],\n",
      "       [6.2, 2.9, 4.3, 1.3],\n",
      "       [5.1, 2.5, 3. , 1.1],\n",
      "       [5.7, 2.8, 4.1, 1.3],\n",
      "       [6.3, 3.3, 6. , 2.5],\n",
      "       [5.8, 2.7, 5.1, 1.9],\n",
      "       [7.1, 3. , 5.9, 2.1],\n",
      "       [6.3, 2.9, 5.6, 1.8],\n",
      "       [6.5, 3. , 5.8, 2.2],\n",
      "       [7.6, 3. , 6.6, 2.1],\n",
      "       [4.9, 2.5, 4.5, 1.7],\n",
      "       [7.3, 2.9, 6.3, 1.8],\n",
      "       [6.7, 2.5, 5.8, 1.8],\n",
      "       [7.2, 3.6, 6.1, 2.5],\n",
      "       [6.5, 3.2, 5.1, 2. ],\n",
      "       [6.4, 2.7, 5.3, 1.9],\n",
      "       [6.8, 3. , 5.5, 2.1],\n",
      "       [5.7, 2.5, 5. , 2. ],\n",
      "       [5.8, 2.8, 5.1, 2.4],\n",
      "       [6.4, 3.2, 5.3, 2.3],\n",
      "       [6.5, 3. , 5.5, 1.8],\n",
      "       [7.7, 3.8, 6.7, 2.2],\n",
      "       [7.7, 2.6, 6.9, 2.3],\n",
      "       [6. , 2.2, 5. , 1.5],\n",
      "       [6.9, 3.2, 5.7, 2.3],\n",
      "       [5.6, 2.8, 4.9, 2. ],\n",
      "       [7.7, 2.8, 6.7, 2. ],\n",
      "       [6.3, 2.7, 4.9, 1.8],\n",
      "       [6.7, 3.3, 5.7, 2.1],\n",
      "       [7.2, 3.2, 6. , 1.8],\n",
      "       [6.2, 2.8, 4.8, 1.8],\n",
      "       [6.1, 3. , 4.9, 1.8],\n",
      "       [6.4, 2.8, 5.6, 2.1],\n",
      "       [7.2, 3. , 5.8, 1.6],\n",
      "       [7.4, 2.8, 6.1, 1.9],\n",
      "       [7.9, 3.8, 6.4, 2. ],\n",
      "       [6.4, 2.8, 5.6, 2.2],\n",
      "       [6.3, 2.8, 5.1, 1.5],\n",
      "       [6.1, 2.6, 5.6, 1.4],\n",
      "       [7.7, 3. , 6.1, 2.3],\n",
      "       [6.3, 3.4, 5.6, 2.4],\n",
      "       [6.4, 3.1, 5.5, 1.8],\n",
      "       [6. , 3. , 4.8, 1.8],\n",
      "       [6.9, 3.1, 5.4, 2.1],\n",
      "       [6.7, 3.1, 5.6, 2.4],\n",
      "       [6.9, 3.1, 5.1, 2.3],\n",
      "       [5.8, 2.7, 5.1, 1.9],\n",
      "       [6.8, 3.2, 5.9, 2.3],\n",
      "       [6.7, 3.3, 5.7, 2.5],\n",
      "       [6.7, 3. , 5.2, 2.3],\n",
      "       [6.3, 2.5, 5. , 1.9],\n",
      "       [6.5, 3. , 5.2, 2. ],\n",
      "       [6.2, 3.4, 5.4, 2.3],\n",
      "       [5.9, 3. , 5.1, 1.8]]), 'target': array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
      "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
      "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
      "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
      "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]), 'frame': None, 'target_names': array(['setosa', 'versicolor', 'virginica'], dtype='<U10'), 'DESCR': '.. _iris_dataset:\\n\\nIris plants dataset\\n--------------------\\n\\n**Data Set Characteristics:**\\n\\n    :Number of Instances: 150 (50 in each of three classes)\\n    :Number of Attributes: 4 numeric, predictive attributes and the class\\n    :Attribute Information:\\n        - sepal length in cm\\n        - sepal width in cm\\n        - petal length in cm\\n        - petal width in cm\\n        - class:\\n                - Iris-Setosa\\n                - Iris-Versicolour\\n                - Iris-Virginica\\n                \\n    :Summary Statistics:\\n\\n    ============== ==== ==== ======= ===== ====================\\n                    Min  Max   Mean    SD   Class Correlation\\n    ============== ==== ==== ======= ===== ====================\\n    sepal length:   4.3  7.9   5.84   0.83    0.7826\\n    sepal width:    2.0  4.4   3.05   0.43   -0.4194\\n    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\\n    petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\\n    ============== ==== ==== ======= ===== ====================\\n\\n    :Missing Attribute Values: None\\n    :Class Distribution: 33.3% for each of 3 classes.\\n    :Creator: R.A. Fisher\\n    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\\n    :Date: July, 1988\\n\\nThe famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\\nfrom Fisher\\'s paper. Note that it\\'s the same as in R, but not as in the UCI\\nMachine Learning Repository, which has two wrong data points.\\n\\nThis is perhaps the best known database to be found in the\\npattern recognition literature.  Fisher\\'s paper is a classic in the field and\\nis referenced frequently to this day.  (See Duda & Hart, for example.)  The\\ndata set contains 3 classes of 50 instances each, where each class refers to a\\ntype of iris plant.  One class is linearly separable from the other 2; the\\nlatter are NOT linearly separable from each other.\\n\\n.. topic:: References\\n\\n   - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\\n     Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\\n     Mathematical Statistics\" (John Wiley, NY, 1950).\\n   - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\\n     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\\n   - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\\n     Structure and Classification Rule for Recognition in Partially Exposed\\n     Environments\".  IEEE Transactions on Pattern Analysis and Machine\\n     Intelligence, Vol. PAMI-2, No. 1, 67-71.\\n   - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\\n     on Information Theory, May 1972, 431-433.\\n   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\\n     conceptual clustering system finds 3 classes in the data.\\n   - Many, many more ...', 'feature_names': ['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)'], 'filename': 'D:\\\\Program Files\\\\Anaconda3\\\\lib\\\\site-packages\\\\sklearn\\\\datasets\\\\data\\\\iris.csv'}\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2\n",
      " 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
      " 2 2]\n"
     ]
    }
   ],
   "source": [
    "# 导入算法包以及数据集\n",
    "from sklearn import neighbors\n",
    "from sklearn import datasets\n",
    "from sklearn.ensemble import BaggingClassifier\n",
    "from sklearn import tree\n",
    "from sklearn.model_selection import train_test_split\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')  # 使用自带的样式进行美化\n",
    "\n",
    "# 下面两行代码用于显示中文\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "\n",
    "iris = datasets.load_iris()\n",
    "x_data = iris.data[:,:2]\n",
    "y_data = iris.target\n",
    "\n",
    "x_train,x_test,y_train,y_test = train_test_split(x_data, y_data)\n",
    "print(iris)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 没有使用bagging的情况下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7894736842105263\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0.6578947368421053"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def plot(model):\n",
    "    # 获取数据值所在的范围\n",
    "    x_min, x_max = x_data[:, 0].min() - 1, x_data[:, 0].max() + 1\n",
    "    y_min, y_max = x_data[:, 1].min() - 1, x_data[:, 1].max() + 1\n",
    "\n",
    "    # 生成网格矩阵\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.02),\n",
    "                         np.arange(y_min, y_max, 0.02))\n",
    "\n",
    "    z = model.predict(np.c_[xx.ravel(), yy.ravel()])# ravel与flatten类似，多维数据转一维。flatten不会改变原始数据，ravel会改变原始数据\n",
    "    z = z.reshape(xx.shape)\n",
    "    # 等高线图\n",
    "    cs = plt.contourf(xx, yy, z)\n",
    "\n",
    "# KNN\n",
    "knn = neighbors.KNeighborsClassifier()\n",
    "knn.fit(x_train, y_train)\n",
    "# 画图\n",
    "plot(knn)\n",
    "# 样本散点图\n",
    "plt.scatter(x_data[:, 0], x_data[:, 1], c=y_data)\n",
    "plt.show()\n",
    "# 准确率\n",
    "print(knn.score(x_test, y_test))\n",
    "\n",
    "# 决策树\n",
    "dtree = tree.DecisionTreeClassifier()\n",
    "dtree.fit(x_train, y_train)\n",
    "# 画图\n",
    "plot(dtree)\n",
    "# 样本散点图\n",
    "plt.scatter(x_data[:, 0], x_data[:, 1], c=y_data)\n",
    "plt.show()\n",
    "# 准确率\n",
    "dtree.score(x_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 使用bagging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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btk3X5vTp02htbUVbWxtqampw//33W7rAgKSR1akNs1PswhFIVpKwaeHVYj8maNUKyTdJvVcXQuDIkSPw+XxwOPT5v76+Hrt378bDDz8MVVVx7NgxXZuWlhbs2rULu3btmn/UJONYXjduWtid/yAg0lhNq1ZI3klqNQtjDPfeey9+/vOf46233tLd91lbWwun0wkAqKurQ09Pj66PpqYmNDU12RBy/hEqBx8bg+AqmMsNqcATd16ZRxXw4WFtbtzlglRUaH4phNsFhCP65yZ3d8JboD+EK8GOTqN4WIEHYjQQ21CWF2Rn6GDIi1+89xH0BQuxdkknbqs5BYdkfn+kDIZSyQkHYxjnKkaEEvc5IemQcGR+8OBB/O53vwMAjI+Pw+vV/7AdOHAAnZ2d4Jzj6NGjqK2ttT/SPMWjUaiDAxDBIBCOQIyOQh0aMl35oQSD4AMD2jTGxNVq/HL/1EoUHZMjbeEzmKOXZTC3Wz+qliTTkbZZPMzjASv0Aw4HIMuAywmpuMiWM1vi3d3ZMbwIX//ddvzyzDq8cWEFfnD8Vuw+shUqN47fCYZqRwFKZRcKJScqZDeqZI/pc0LSJeFPTlNTEw4fPow9e/aAc47y8nL8/Oc/j2mzbds2PP7443jwwQfR0NCA6667LmUB5xutUDgrEUei2rngRmaPdgFACPDR0eTbA8CwwTJUVYUYGdXPmyvKnOKRvV44ysvgWFQOR2kppIl3d/PRt6Uel282L979n5MfQ8/49B2mqnDgnctVeLV7pWH7CtkNF5v+MZEYg4fJWCp7DJ8XMqoVkfRIOM3i9/uxe/fumGfbt2+P+XNNTQ3+/u9pjjIlrBYKzQqaRlMp8dqbPU91PCYijdUJ25z7eOKR8eWg/qYkVTjw9qUrsenKNt3HHCY7Ip0GO2skxuCTHBg1221LSArRDtBMJzHAIDdYLhTatbpIYoYXMKYynr4t9RittWftuddhfAxCpc94iabZjkguAJl2SpIMklt7tnOQ5PHo56PjFQqN7soEJk5BTL49jPqXZTCvN7XxzBBprLY1kQPA5tqT8DliC7hV/gHcsfxtw/bDPApVxE5zRYSKAR5BdNbsV5hzDHJr7zjicUNCjVyAqxxeVEpuo98phEyhkXmGkyYKzjwUmhgOTuwANSkUOkpKoAwNTU9jMAYUFkIyWFIKTNytOXvKQ5bBXC6IsXHDeARjKYtn0nySuLvbhRdG1mJbUavuY5+46iQYEzjU9SEEFScqCgK4b9VvUegynvMfFQqgAsWSExLTRt6X1TDOjZTjWj9HqVv7vLgAukaLoXpCcVfGJMsPGUsd06uWfBLDVZIDHYrBZi5CADCRqgMxEri98qvpeFkyizIwCEQNCoaSpC0lnIUVFkL22rNDMx47RuSVG87jqYbnbIooVnC0BteVDcQ8i6oMh/vKUFPeNe/+r3J44WCxvyCFEBjhUVyycfRPssuKZRdMP0bTLPnObMmiyXMRWZhEYsfUSs+RKnzxvbtsiEav0Kn/BeiUBfw2nTYpGUyqMMbgpaNoiQlK5vlOMkmaJs+ZI3VL7yKN1Yg0VqPjK1fb1mfPkSpsfu1rtvU3KaQaJ9Vx1Z6ZbbO3y1Ex/ykckpvo13wacEWBGBuH4BzM6YDk88Xf0WnSXgmFtHXcQgAOGVJJiflOTxOSpwBcCcQuIZRlsIICiLEx3XPJYNOYHewudAIAZxzcDciXHdjys6/jpc99H27Znl2a50MMlWEXStzT71S6RgtRXngeA+OFUMOL4JYEhhWGJSUfwCUrcIChTHJBZgwhoWKIR02T9iiPolhyxvy74EKgVw2Z9mP2/EKgGD9790aMhAuwoqwHdyx/O+7XwUqcJHPQnPkC45GIdvTrzGkMpxNyaYlhQjdrD5cLGNMXw6SKRZYSOo9EwAdnLcuTZcjlZRChMHgwCIjpI3MTFS7nws6R+CQucag+TL/3FIBwcLy85TG4ZHvWgXcPLMMSF4NbUjEcdYI7LyMUKUCDj2GpVysecwG0D5fCU9CDZS4XnBPz4EIIhATHeTVomijLJaeW0MHAIdCjaEXapQ6Prp/Latjw+W96i/HwW59EX7B46gtxTdkFNN/0C8OvgweSYT/x4iQLh+bMMwgfG9PPR0ej4LPPO0nQ3iiRA9ASv9V4ZlNV8PEgpAIPHGWlcJSXw1FSkjWJHABUD2L/dTOAKRKa22+37TVqyj6A298NeM+juLgTpd4ASuSCqUQOaLNVywuHUAz/VIIEtPlvD5NQyIy/pi+MrEU/j6JDGccZZQxnlXGEwFEmuwz7WSy7DZ9fHFk2I5FrX4j3BpbiUNcqw9c1698sTpI5KJkvtNlb8ycIoxUlcdqbMuvHrnhskIq5cR2jf9kM+OPJFSkrigLmhdEC2WBlEGPwSvoaxAsja/HMS7caxmm0I5UxZvr86kL9MQ4qZJy8bLyj1qwfozhJZqFftwtNkgy3xJsWFk3am7JaoLQazzylYm7ckNGcgAAYnyiKnvsa7lv3uuFa9PkIKvofKS6AsCrB64hN6EIIRATHCyNrY57/6K2b4cZ0nDOvvONC6HakCiHAhdDtSBVCoCdotIxUoKaw3zB+s/4jVHjNeJTMF5jkLQAfUZIuLJq1h9MBhPRb06WiIu1KtrFxQHAwhxOSzwsmSVCCwYmDrwQgOyCVFFuOZz5SOhKfRQoDXELsCJ0DUljLVO5uF57pvhXP4Fbcs/VVALAlsfdEBK6IOFHimh6hdwf8gHMQhUKOWTs+ebfmMy/dGtPH5JmPVy66jK82tqLn8gpcDHpwVcVp+AvCcDJJ188gj6AMBXDN+HzDQiAqj6LINY6RyPT3s7awH5+52vhzHeJRw/7pDtDMRwXQNOChkFZYnNpB6TOdj+bhMPjQcOxDSYK8qBxqIAAEg9oolDGguAgSAD4yGjvP7nBoBdNxgx2dFYuASCTpeKyaPCArmUOw7KbK2moWMG1ELoUASZjPLNqxycjDJFTAB49j+scqoAhcFGPwMhklEwVNBRx9E3drfvG9u9BzpCqmnw9Xf4Dv3PLvqPRO1zT+3F+Bf4uUYYVvBFv8H8T0MzJWhg8VhTFzmXtIkXBWGcPR3lq83LEWQcWJJd5h3Lfqd1jkNd9J6jOJk6RfvAIoJfMMZ7ZDk/n9kA3OQzHd0WnG5YKjtGQ+IZpasCkVG4VrIrhv3etTf7Y6Wq+SPbqNPUIIXFYjGBLm35fNr30N7u7pc2ye/tS/Yv2S2B9chQPNrevxz8fW4J6tr8bEVokS+J2xyw2FAE6PesEKLln6HEjmipfMaZol05ntxDRL2GY7Os2kqNAZaazOukQOTE+/AFpi3/Zxa8lcNikgeiTJ8PTLSVdW96Gne3p0Xu7Rr25ySMCaikv4Z4O/75IM6h4MKHMpGEwqcpLtaDVLpjNZMx63YGpFCgqdkcbqtEyr2G3ywC4rVIM3ukIIhBP8kn2q4TlUbjg/9efhsP62JC6AdwfLDP9+lOu/70IAw1Ear+WLpL7TgUAAHR0duPLKK1FUlPjoUqLRCpFjABdgDgckvw9MkkyfGzEsUDoSFEyHZ422JUk7ijaoPxlQKi62FE88ZkmcSxzcAwgGMBWQQwwszoGuioNDTC7C4IA8BkiQLPdzTcVFfHHtMRS6Ijg9WIYDb34EY1EPVpZfwhevb9WeD5ThwNsfQSDqNmz/zEu34jcbGnHb0nYAiaddhngUrlkFxLDgGBJRFMOBRQ7tKFtVCJxTxxEF8N7gYvzLuzegd7gMiodDDjH8n5PXoX7DAMo80ztMTw+X4KfHPoSV5Zew1X8BVbIHYcExwCM4M+bGqqLxmN/lES4h7BiE2f1NLkgok12QJ2Ic4BHwOM/tkq7XzXUJk3kgEEBzczPWrl2Ln/zkJ9izZ49hQn/iiSdw7tw5rF27FnfccUdKgs0mPByOKUSKaBRqNArm82oXGc96LpeVGu4AnTzPnI8HAc61ZFtofuQsVwy2aXOu7RqdncwlCSIatRSPGdNELnOoXky9BxQOQJEFHGMwTMSKcyKRT35IAtQigI9xCAv93LisC80f+y2WTGzg2bD0Aq5ffBE/PLoO3775MJb4tOfrq85j7dKLOHBsLf7XTa/r2t/zr5/WipNb27GtqBVffO+uuIl9TKi4qIZQKrkggSEiOPp5BBXMiSLZNfU1dTCGWubDyxdLse/oFgyE/FoHbu3zCkUcunPjVSHhhsoLWvzucQAOeAEUMBnnfJdwYngRrvKpcDCOMcWBXj4Oj8t4Gs3LJCyWp3d6TvbTz8OGz8/ZtAM0Xa+bDxIOv7q7u3HPPfdg69atWL16NTo6OnRt3nzzTXDOsW/fPvT29qKnpyclwWYTPjaun79WlJjEOfM5N1hpMklyu+EoLYGjvAxyokuPDc4gBwCMGNwByvmc4jFiNq2iuqH/VyYD3GX8Iyo8MLzZZ2YiT6afL11/bCoxT7q29DL+ZsPvpxL5pGvK+/A/bzxi2H77h07GPHuq4Tn86K2b8ZuLjaabj4KC44Iawjk1iEs8DBUiJpHPdH1hdDqRz/i8vnz9MZS5Y5eerigeMIzfzSQUMyd8/su4xAZxAcMYdvTD4zLeVQwApVLsTs/Jfiokj+HzYjb/+1nT+br5IOHIfOVK7aLbU6dO4cyZM9i2bZuuTVtbG9avXw8AWL16Ndrb21FZWWlzqFnG6tGyUXsOgLIs1fGY7MQUZlP1Rm8GzN4gxOmn1K1PZLIElHr0U03xnq+quKx7btdmI8YYFhsUOsGAUoPnZnEmU2DV9WVSqDX6cs6l/0x73XyQ1MSoEAJHjhyBz+eDw2D9cTgcRlmZVpjx+/0YHh7WtWlpacGuXbuwa9eueYacJcxGz2YFTWeaClU2xNO3pd78g2Y7Mc1+QE3aW+1nKKx/p6ByYMigsBjv+anLi3TPf/TWzcYvapEQAn0hg3c0AhgyeG4WpxACIYurmMwKtWbPrfafaa+bD5JK5owx3HvvvaipqcFbb72l+7jH40Fk4tKCUCgEbvANaGpqQnNzM5qbm+cZcnaQvF79meAOB1ih3/gOTbt2XJr1U1hoHo/B82TjSbQEUQ4BuiqWCkgRk/PSQzBM3GzcWj//+/ga9M7ayt4+tAh/94f1uDQ+6/nAIjS/eaNh+5+9swpc5vj18Q/hwcOfw/ePNeG/rP4DAG2DUKXsQZVcgArJNfXDdPJyFfYc+cxU+5GwByNqBEZbOt4aces/L54g/rHY572qB8Nx1rAbGeQRKLO26IcFx2UeMnw+LKKmn2+qX5ckJ+Hw6+DBgygtLcUtt9yC8fFxeA1+yOvq6tDe3o6GhgZ0dXXhiiuuSEmw2UTyuAGpeGJbvQBzaEfIiojxD7VdHIV+KJKknaooJnZ0lhRDcjjAHbIuHiZJ4JKkf55k8TPREkRJlYCxWatQwuarUBifWLgz88Nc+6PuqxYnxN93X4X/3uLGfdcfh98ZQcdQCb7/pxswGHWj9/defGml9vzMSAm+9+ePYmTYg0vCp3s+JhzgXuCD/kX4AMDJ/mWoG+zFF/7qOCpdjqlVK17I8DAZvzy/FN9t3YShsDYPfrJ/Gd4bXIrvfuznqBRhlM1YzXJeHceYssQw/je6rzSMfyRUgP6gD/evPgafK6o9f+sGeD/cb2n36rjg6FFCKJW1pDxZqOWA4fMCJmOJ7NZ9vlYLlFZfl4qfyUu4AzQQCOAf/uEfoCgKli1bhs2bN+P3v/89tm/fPtVmfHwce/bswapVq3D8+HHs27fPMOnPlK87QM13dPog+3xpiGjuUnHWStTH9UMMAW30OntiVWhb9OVI8mNEq/0bPWfgeHXLT1Hji53XFkLgmfcb8dCxv9K1/8LKN/C5FUd18Xzj8OfQ1r9M97pWP69wTSTmQC67zXVnK7HXvHaA+v1+7N69O+bZzEQOAF6vF3v27MGJEyfw6U9/OmEiz2uZVgCdo7jz5PNhVgA1eW5aSLWpf8OVNZBMC3nLfPozTwQknBlebBjOaMTgVMO5fF4pNtedrWTh2FZ18/v92LBhg13d5S6zI2fTVQDNNGYjZKuFVGBqR2XMIVbxRuCzB8Imr8vATQt2nQG/YfsVpdpy3dnLGbvGy/S/LxJ8Xkbc3S588b275n1QmFgeEDUAABe2SURBVBnV5GhcKlBmDsogC0zyeQ1PNUzV3ZrZRg4D66/4ADsaT8DnjKI7UITm1hsxOOQFn73WnGsF0A1V3fivH/ozfM4oukaL8fdvrofr+sGpxLb53PQhVnIYUOVZ/ajatIau/4nnG66Kjef5zjqojiEowqnb6VnkvYj/ce0fcFf9u3DJKgZCBdh/4sPYUncCj569FWqPC+cvlYNxbQerQxIxm6qmXteksAtMbMSacRqkHGJggqHnSBVeWLrW9jPaAWCAR+BkUsxa8MkCZQGTpjZJRQXHZT63Uxbt6idfUTJfYJLbDZRI+u3zFnZbplsqD9HavOwsvnXjYSwq0NZTf3hRL1YW9uNzr3waY8wV21gCbrvyDPbe9DrKJ9pfv7QXjUv64Cj4AALaSHjmaYRTBVm3VpCVVO2Mc8WlH3lCBjYv68CeG1+PiecTy97FkOC65gzAf6jsRWnV0NQCIb9zFD/c8O/4l+5q/PHUcgxHfIBDG/ArsoAjwCCPCV08ZgVi1cHBCzC9E3aqH+OdsHYJCo4LSghlsnNqZ+sAj8DLZCyeURgtgAw3k/CBxcKoz6Z+8hkl8zSQnE5IJak5djbVUn2s7T2rTkwlzknLywbw1x96Bz9s/7C+/ep3phL5pIbCQfz40ofxz5dX6M4JBwCJS5Bm78lxGyTzif5nx+ORGMqFG/KsHYsuJqGUOXUrPRmARr/QEnlMIAB3C8hhg3hMcKMdtVP9pHZAEAHHRTV2V2qpFPvuBNC+DiXMiUELhVG7+slndGoisSTVx9oWuw1uT2JAQ7HBQa4MKHYZt186qhgmclMmBVCj/hljpgVBo9ExYwxXFBgcj8AA9+Iks3iCOOPcuZFSksnXwW3xoDa7+sln9JUiSUvZCpYZ+g3urIxyhtbLBuuxBdAfMm5//NJSay9sUmAd4/plJfF2LAqDjoQQODNaqHsuQcU9tX+wFqdRvXEOBVO7mH0dgjbtSLXaTz6jZE4S6ttSj46vXD01KldljqiXI+rjUAo4OLPvB+7x1o/gQiB2OqKtrwL/cuoafcIVwONHP4zRSOxs4ZmhYjzfvtL0NYziN9p5KpiAr6AH0VkJJSQ4LpnsWOwz2OnJAVzmQSwqGIl53lDai/941QnTOI3IYeiXAqrAf7n9d7rbhxZCP48Yfn1GLE6N2NVPPqM5c2JochQ+e1pFdWq7OWcW4FQZYAFhSwHuT/1L8de/24Kdq1pR7Arj5MAiPNV2PdSQEywqpo/HVQF5HNi8+gx8s65Lu6p4BCXuMVwaL9b1bxa/I8Cg8tj+RZkK5gjjvMpQJlyQGUNIqBjkUfiY/keHsYn+IOCY8bVQwHHtoh7s3/gCnmu/EYGoB1cX9+I/r/gTXLKKyg3nk54SklQJGI8t4CqLFWwv1R+zsRBCguO8GtR9fawWLe3qJ5/RHaAEkcZqDNfHHuBkNjduuIMSEzsWw/N/o2e1/z/99T+i0ODM7j9erMR//bfPzKv/eLsqq+UCFEj6KZgo53AazPP2q2EMxLnh/oWRtXjmpVtNP56IHZdRk8xHd4DmuURz3ZaKmiZNbSvAWezfJRtPFi8rHDF8blf8s1esJHruYvFfYFtRK7Z9oRWf+qcHrQUyoedIFTaf+1pKt/STzEZz5jlucq473n+WmBXg7DqNwGL/QUU/HhECeLvXpABqU/yKScHO7Pk4T65C+fIXvoNwTSRxQwNzubOU5A4ameeYmaPwVCwjlEOzdlBqk8SQotZfS3VycBemdjJKwfj9G7X/u6M34KENb8AhaUlUCCAQdeJbv/uY5fg/Wf8uPnfNX+BzRtAT8OPbXR81jb1fjcA1Y0ekEAIhwdGnhlHJPLrnIyL53xb3rXsdz3TPfcolWxUyB4okByTGoAiBPjUMhWbNk0bJPIek4hTD2SQuAQE+tXmFKdrWc6vFT10hUgZUSStEygGh6587hWH7F99fiY5QMR7+6GEUOiM4NVSOr73RhJDiNozILP7PLn8X37zxCEo82rrylYv6cWXxMB54fxu+e/ULun7C4DinBFEmaQW7IFcxLLSCndFzEl8hc2CR7JreOMQAJ2M4pwTpUuckUTLPEZHG6gV7LUlIkPS3l1nCXTC+03NyR2Rodnth3N4DvD1QhU2v3BkbY5wdkUbxf67x1FQin1RfOoTbz17C5teM56IVCFzi+k1FZs+JuWKDHaBuJqNEcsYtHJNpNGee5SKN1ejbUp/wkoiMY7UQaXEWx2pB0+8ynqeuKRqmuegFMNfCMZlGX6ksFmmsxrmPe1K+xT4lrBYiTdqbHo1rsaB5aVx/MUhUZfjDhYV7xzNpW1Hr1PG9Vtl1P+lCMyoccwuFY0LTLFlrLgde/acVbfjsinfhdUbRG/Ch+Y8bcXa41LS9ruAYmphztoGlQmdIa79t+SlsrXsXPkcUF8f92P/2enReKtWOrpX1/Vjx3T/diJqiQ1hWNApAOxLgWO9S/Ot7K0z/TtdALarcKtwyx3DEiZA0hEV+/WXmc3Hb0nYEVwxZ+n4B0ytaFnon6Hz1q9oRu66YwrFqqXCc7xIm8/HxcTz66KPgnMPtduOBBx6AwxH711RVxc6dO7FkiXZ+xo4dO1BTU5OaiAkA6ytV/tOKNnz9hj+i2K1NJ6woG8Cyol/hrpe3Gt9kb1KgZGMCTMz/nYDuJp2JW31Up4AweN07q0/hG6vfnIq/sWQQtd4R3PXyVgyOuaG6xbwKsn/pr8Dn/+2z+NKat7HIO44/XbgCz7dfC8Xkyp+ugVp8tHQERTM2LHUH/BgIh+Fzz7OgAGD0YgW+aeH7le2mC8pOyExCkCsYpkRuScIdoIcOHUJlZSWuu+46/OhHP8L111+PdevWxbTp6OjAkSNHcPfddyf9wrQDdO7msmrluU+9iOuXXNI9/9/H1+Afjq7XPU/XTk+o0N8EBOAXf/VLXL84+fhTYebUxw+qDuOakiFdm9/2LkZVWce8XysSXYZrvfqTIpP9fNNxTgtJvXntAN28efPU/4+MjKCoqEjX5vTp02htbUVbWxtqampw//33Q5ZjfyJbWlrQ0tICAGhubk46eKKZ3HI/1/lxv9N4RUCVf9T4L6Rpp6fZc5/Bln0gTvwpMHl+SrgmAk+N8VxugWTPuujFLv1dokDyn+9vLjZSMs8zSc+Zv/feexgbG0NDQ4PuY/X19di9ezdKS0vx+OOP49ixY7rRe1NTE5qamuYfcR6aLHTOx8UxP5aXxY70woqE188ZT4cxbjAVYuNOT7P+ze7i7B3zoaEk+fhTyd3twvnrC3FVYWxiDSsSRlUVZRb6mn0n6KQ9S97GLYtii6Dp+nxJdkhqnBUIBPD000/jy1/+suHHa2trUVqqFWbq6urQ09NjX4R5zq5lh9/543p0jky/q4qoEt7qrcT/fV//yxnQplNijlqdSORz2elp2v/MQexk4TJo/LqPHFmPruEZ8SsS3r54hWn8qdb8+gZ0js76evZV4uHLG/DF9+4yTNJGz25b2o6eI1W6/7777xvn9fn2HKky/UVBclPCOXNFUbB//3585jOfwXXXXWfY5nvf+x62bt2KmpoaPPTQQ/jsZz9r2nYSzZknZueOTtXJUVIcxL3X/BlXeEdx+OIy/GtHA1hANi1oCibAXQJCmk7kdt0zGS3ggBOx0yoCkAMAE8zwdUs9Qfy3646h0h/A6x8sw7+9vwJquq7YAVBSMI7/tuY4Kv2jWjzvrgCf9XZjcp6981zF1F2kM+feZz6fbb6fb7xTH0l2ijdnnjCZ//rXv8bPfvYz1NbWAgCuvfZaqKqK7du3T7Xp7u7GY489BiEE1q1bhzvvvNOsuymUzOOze2t+qgualuMp4sbz4wrgHKPtD3agZJ575pXMU4WSuTE75seNRP3ccJUIiwCOYAYlcxVwBiiZ24GSee6h88yzxFw2AiXLtKCZrmMvBPTJXACgYzgImRNK5hmgb0u9dnZr13ks+X+XIYVVqEVuDN1Wg8gy/VLQuZBC2uabmTslmaL9p7o4+OT8Ndd2W9q109PUOAAfphP6xNZ8OUvOpxLQ6gkL/nUjxAT9y0uzSGM1RmsZxPkeFB8+B/fFcTgHw/B0jaD8hdOQRud2UcFsEpfgCDBIIW1qRRoH5HEG4dJOHoQDWqJ3AqpXK36mku7GNQbtFwzLjnNmuEuk5etmhbvbRSta8ggl8zSbnB/3tfVDisaeJuUcCqPo93M7cMkIA4McluAISpAVCQxsemQ5kzxx5GwKpet17ZIt8fccqcLm176W7jDIAqBkniaRxuqYFSssaryjULZpZG4q1Ts9M+117ZJF8dMRvvmB5swX2OS1brMLnWqJG7gUjHnGHQzj15SnNJ50FUbTXZAV4JCYgDA5SEvfXhtxT66zT3f8hMxGyXyBma1WGbj9KlQMtsPZF9TqaU4JofpiBFemNplLwYnCqITpeesoICmpnbtO1+sKcOz86FHcVntWO0o36MOjRz+Ct88vM2kvwN0ThU4AEEIrdKYp/rl65qVbga2g81pyGCXzBRRvI5BaVoDe+66D/62LcPYFMb6yDKHlpUCKC4KSkMACM3Z6RgFJtW+nZ6a97n0fbsWOa/8Mr0Ob1qr2B9D8sd/irpc/g76xQl177p64j3RGWKpXu6vUEcCCx0+IGUrmCyDZjUDCLWN0Y9UCRBSLgUGOLHwSSsfr3lbbOZXIJ1X7A9hx/XH83Rv6W3q4A/r5cQlQ3QKOkJSWr9tc0eg8t1EyT6FUbgIic+OWjY99LPcEDZ9bPao30z3z0q34zYZGPNXwXLpDITbLwNp77qBEnnk+GNVvwgoqMv7fmXrD9szsrtIsLnR2nqtIdwgkBSiZp0DHV662/aAsYo//9fpGtA+WIcq1X7SjESdeO1eLfz97lWH7qSN5J5eP88wudCbD3e2itec5iA7aslGqDski9nLKUXymsR31pUM41FGH1guVYHHGNQIC3CkgZECKAixHCp10EFf2oYO2UozmxrNLVHXiF20fmvpzou8cA4McZTl3CNjkZiIqiOYGSubzRNMphJBMQMl8DnJxOkVATG9+yYEpBJIcWq6YO6gAalGuJXIBAcXDofiF9p9PQHUYLeEgueqZl26l0xVzQMKR+fj4OB599FFwzuF2u/HAAw/A4dD/tSeeeALnzp3D2rVrcccdd6Qk2HTK1ekU7hYQLkxPHEsAZ4A0JkzvBiWEZJ6EI/PXX38dn/zkJ/G3f/u3KCkpwfHjx3Vt3nzzTXDOsW/fPvT29qKnpyclwaZLriZywGSHo6ztcCSEZI+EI/PNmzdP/f/IyAiKivSbLtra2rB+/XoAwOrVq9He3o7KysqYNi0tLWhpaQEANDc3zyvohZA3K1RybIcjIfkq6QLoe++9h7GxMTQ0NOg+Fg6HUVZWBgDw+/04e/asrk1TUxOamprmEerCyZtEDoCpBke5ckBK8THqJLP0HKnCF3EXbfPPYkkVQAOBAJ5++ml8+ctfNvy4x+NBJKL99IdCIXCevQW0jq9cnTeJHADkEAMU6HY4MjV/vgZEQ9v8s1vCZK4oCr73ve/hrrvuQkWF8Te7rq4O7e3tAICuri4sXrzY3igXSC7PjZthgsExxiCNa1vX5THAEZJoeSIhWSbhNMtrr72Gs2fP4qWXXsJLL72Ea6+9FqqqYvv27VNtPvKRj2DPnj0YHBzE8ePHsW/fvpQGbbdcW25oFQODnMVnjRBCbDybJRAI4MSJE1i5ciVKSkoSts+Us1nyaX6ckETovJbMtiBns/j9fmzYsMGu7hYEJXJCSK7I2+38+Tg/TgjJXXm5nZ8SOSEk1+RVMo80VlMiJyQOd7cLn/qnB/HCyNp0h0IsyptpFpofJ4TksrwYmVMiJ4TkupxP5vm2o5MQOzzz0q001ZJlcnaaJd83AhFC8ktOjswpkRMyf3RpRXbJuZE5zY8TQvJRTo3MaX6cEHv1HKnC5te+lu4wSBJyJpnT+nFCSD7L+mkWmh8nhJAsH5lTIieEEE3Wjsyp0EkIIdOyMpnT/DghhMRKapplaGgI3/rWt0w/PjAwgC996UvYu3cv9u7di5GREdsCnI0SOSGE6CUcmQcCAfzgBz9AOBw2bXP69Gls3boVmzZtsjW4mWh+nBBCzCUcmUuShAceeAAFBQWmbU6fPo1XX30V3/zmN/Hcc8/ZGiCgzY9TIieEEHMJR+ZerzdhJ2vWrMEdd9wBt9uNhx56CF1dXaitrY1p09LSgpaWFgBAc3Nz0gFSoZOQ9HJ3u7D5ta/R3aAZzpYC6IoVK+B0OgEAV155JXp6enTJvKmpCU1NTZb6pflxQghJji3rzPft24fBwUGEw2GcOHECNTU18+6TEjkhmcPd7Up3CCQByyPzkydP4ty5c/jEJz4x9Wzbtm349re/DYfDgdtuuw1XXHHFnAOiQichmelT//Qg7tn6KrYVtaY7FGKACSFEOl749sqv6p7R/DghmY2SeXqtWHbB9GMZs52fEjkhhMxdRiRzOrqWkOxA18llrrQncyp0EkLI/KUtmUcaqymRE5KFfnOxMd0hEANpS+a0YoWQ7NR5roLuBs1AaZ9mIYRkj3u2vko7QTMUJXNCiGVPNdh/BhOZH0rmhBCSAyiZE0KSRksTMxclc0IIyQGUzAkhJAdQMieEWELrzDMTJXNCiCU9R6ponXkGomROCCE5gJI5IcSyznMV6Q6BzELJnBBi2eS9oCRzUDInhJAcQMmcEDIndC9oZkkqmQ8NDeFb3/qW6ccVRUFzczN2796N1157zbbgCCGZjaZaMkfCZB4IBPCDH/wA4XDYtM0rr7yCuro6PPTQQ3jzzTcRDAZtDZIQQkh8jkQNJEnCAw88gEceecS0TVtbGz7/+c8DAK655hqcOXMGq1atimnT0tKClpYWAEBzczPe3f3AfOImhGSMb6Y7AIIkRuZerxderzdum3A4jLKyMgCA3+/H8PCwrk1TUxOam5vR3Nw8x1AX3q5du9IdwoKizze30eeb22wpgHo8HkQiEQBAKBSCEMKObgkhhCTJlmReV1eH9vZ2AEBnZycqKmhDASGELCTLyfzkyZN45ZVXYp7dcssteP755/HjH/8Y58+fx/Lly20LMJ2amprSHcKCos83t9Hnm9uYsGlOZGBgAO3t7VizZk3COXZCCCH2si2ZE0IISR/aAUoIITkg4TrzfDY0NIT9+/fHXWOfC1RVxc6dO7FkyRIAwI4dO1BTU5PmqFLvH//xH7FmzRqsW7cu3aGk1K9//WscOXIEADA2Nobly5fj/vvvT3NUqRMIBHDgwAEMDw+jrq4upz/XmSiZx/Hss89OLbnMZV1dXdi4cSPuvvvudIeyYP7yl79gaGgo5xM5AGzatAmbNm0CADz99NO45ZZb0hxRah0+fBg33XQTbr75Znz/+9/HmTNnUF9fn+6wUo6mWUycPHkSbrcbJSUl6Q4l5U6fPo3W1lb8zd/8DZ544gmoqprukFJKURQ89dRTqKiowNGjR9MdzoIZGBjA0NBQzie2wsJCfPDBBxgbG0N/fz/Ky8vTHdKCoGRuQFEUvPjii1NHFOS6+vp67N69Gw8//DBUVcWxY8fSHVJKHT58GNXV1fj0pz+N999/H7/61a/SHdKCeOWVV6ZG6LmssbERfX19+NWvfoWqqir4/f50h7QgKJkbOHjwIDZt2gSfz5fuUBZEbW0tSktLAWgbwHp6etIcUWqdPXsWTU1NKCkpwc0334y2trZ0h5RynHO0tbXh2muvTXcoKfeLX/wC9913H7Zt24aqqir89re/TXdIC4KSuYF33nkHhw4dwt69e9HZ2Yknn3wy3SGl1IEDB9DZ2QnOOY4ePYra2tp0h5RSS5cuRW9vLwCgo6MDixYtSnNEqdfe3o7ly5eDMZbuUFJubGwM3d3d4Jzj9OnT6Q5nwdA68wT27t2LvXv3pjuMlOru7sZjjz0GIQTWrVuHO++8M90hpVQwGMQTTzyB4eFhKIqCr3/961MHxeWq5557DvX19bjhhhvSHUrKvf/++/jhD3+Ivr4+NDQ04MEHH4TH40l3WClHyZwQQnIATbMQQkgOoGROCCE5gJI5IYTkAErmhBCSAyiZE0JIDqBkTgghOeD/AxPP1NJQ3OBZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7894736842105263\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0.7105263157894737"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bagging_knn = BaggingClassifier(knn, n_estimators=100)\n",
    "# 输入数据建立模型\n",
    "bagging_knn.fit(x_train, y_train)\n",
    "plot(bagging_knn)\n",
    "# 样本散点图\n",
    "plt.scatter(x_data[:, 0], x_data[:, 1], c=y_data)\n",
    "plt.show()\n",
    "print(bagging_knn.score(x_test, y_test))\n",
    "\n",
    "\n",
    "bagging_tree = BaggingClassifier(dtree, n_estimators=100)\n",
    "# 输入数据建立模型\n",
    "bagging_tree.fit(x_train, y_train)\n",
    "plot(bagging_tree)\n",
    "# 样本散点图\n",
    "plt.scatter(x_data[:, 0], x_data[:, 1], c=y_data)\n",
    "plt.show()\n",
    "bagging_tree.score(x_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
